Alternatives and similar repositories for Restricted-Boltzmann-Machines

Users that are interested in Restricted-Boltzmann-Machines are comparing it to the libraries listed below

• wangleiphy / MongeAmpereFlow
  Continuous-time gradient flow for generative modeling and variational inference
  ☆32Updated 6 years ago
• bacnguyencong / rbm-pytorch
  An implementation of Restricted Boltzmann Machine in Pytorch
  ☆55Updated 6 years ago
• zhaonat / cluster_monte_carlo
  Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model
  ☆29Updated 7 years ago
• VHeusinkveld / Ising_Model-CP2
  Ising model implementation in Python. Metropolis and Swendsen Wang algorithm.
  ☆9Updated 4 years ago
• FlorianMarquardt / advanced_machine_learning
  Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"
  ☆54Updated 10 months ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• RSMI-NE / RSMI-NE
  A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
  ☆32Updated 4 months ago
• DanielJCase / Ising-Deep-Learning
  Train deep neural nets to classify phases of 2-D Ising model simulations. Ising model configurations are generated through Monte Carlo si…
  ☆33Updated 5 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆79Updated 5 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• KindXiaoming / aipoincare
  Counting the number of conservation laws from trajectory data
  ☆21Updated 4 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 2 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆77Updated 3 years ago
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago
• VMML / tntorch
  Tensor Network Learning with PyTorch
  ☆10Updated 6 years ago
• carrasqu / IsingGaugeTensorFlow
  Convolutional neural net to classify states of the classical Ising gauge theory (TensorFlow)
  ☆10Updated 9 years ago
• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆36Updated 6 years ago
• frankhan91 / BSDEEigen
  ☆11Updated 4 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 4 years ago
• zhengdao-chen / SRNN
  Symplectic Recurrent Neural Networks
  ☆28Updated 2 years ago
• lorenzrichter / PDE-backward-solver
  ☆21Updated 8 months ago
• rodsveiga / rbm_flows_ising
  Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"
  ☆14Updated 5 years ago
• sphinxteam / DukeLecture2018
  Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"
  ☆16Updated 5 years ago
• rmnfournier / ACANN
  Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)
  ☆20Updated 5 years ago
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆10Updated 2 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆51Updated 3 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆92Updated last month
• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆31Updated 5 years ago
• marylou-gabrie / flonaco
  ☆19Updated 3 years ago